For a fixed consider random vectors $X_0,\dots, X_{k}\in\mathbb R^d$ with an arbitrary spherically symmetric joint density function. Let be any non-singular matrix. We show that the -dimensional volume of the convex hull of affinely transformed 's satisfies where $:={\in\mathbb R^d:{^\top (A^\top A)^{-1}}\leq 1}P_\xi$ denotes the orthogonal projection to a random uniformly chosen -dimensional linear subspace independent of , and is the volume of the unit -dimensional ball. We express in terms of Gaussian random matrices. The important special case corresponds to the distance between two random points: where are i.i.d. standard Gaussian variables independent of and are the singular values of . As an application, we derive the following integral geometry formula for ellipsoids: where and and are the affine and the linear Grassmannians equipped with their respective Haar measures. The case reduces to an affine version of the integral formula of Furstenberg and Tzkoni.

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